ZipRecruiter

Log In

1

Data Engineer Jobs in Vermont (NOW HIRING)

Agri-Mark/Cabot Creamery

Data Engineer

Waitsfield, VT · On-site

$90/hr

As a Data Engineer, you'll play a pivotal role in driving the transformation of our data ecosystem, working on cutting-edge projects that empower business decision-making and support organizational ...

Agri-Mark

Data Engineer

Waitsfield, VT · Hybrid

$90K - $95K/hr

As a Data Engineer, you'll play a pivotal role in driving the transformation of our data ecosystem, working on cutting-edge projects that empower business decision-making and support organizational ...

Thomson Reuters

Data Engineer

Burlington, VT · On-site

$114K - $138K/yr

TRSS Data Engineers and Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex ...

THOMSON REUTERS

Data Engineer

Burlington, VT · Hybrid

$114K - $138K/yr

TRSS Data Engineers and Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex ...

Pwc

Data Engineer - Manager

Montpelier, VT · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Manager

Montpelier, VT · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Montpelier, VT · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

TriOptus LLC

Data Engineer SOW RFP VT

Waterbury, VT · On-site

$114K - $137K/yr

Data Engineer TriOptus Waterbury, Vermont, United States (Remote) Data Engineer - RMS Data Migration (Public Safety) Location: Remote (U.S. Only) Engagement Type: Contract Start: ASAP Duration: Short ...

Trioptus

Data Engineer SOW RFP VT

Waterbury, VT · On-site

$114K - $137K/yr

Data Engineer TriOptus Waterbury, Vermont, United States (Remote) Data Engineer - RMS Data Migration (Public Safety) Location: Remote (U.S. Only) Engagement Type: Contract Start: ASAP Duration: Short ...

TriOptus LLC

DataOps Engineer

Montpelier, VT · On-site

$115K - $139K/yr

DataOps Engineer Job Type: Contract Duration: 12-15 months (with potential for extension) Work ... Develop and maintain data quality rules, validation frameworks, and monitoring processes

Trioptus

DataOps Engineer

Montpelier, VT · On-site

DataOps Engineer Job Type: Contract Duration: 12-15 months (with potential for extension) Work ... Develop and maintain data quality rules, validation frameworks, and monitoring processes

Trioptus

DataOps Engineer

Montpelier, VT · Remote

This role focuses on building and operationalizing modern data quality, governance, analytics, and ... Azure DevOps or similar workflow tools Business intelligence platforms (e.g., Power BI or ...

Trioptus

DataOps Engineer

Montpelier, VT · Remote

This role focuses on building and operationalizing modern data quality, governance, analytics, and ... Azure DevOps or similar workflow tools Business intelligence platforms (e.g., Power BI or ...

next page

Showing results 1-20

People also search for

All JobsData Engineer JobsData Engineer Jobs in Vermont

Data Engineer information

See Vermont salary details

$47.3K

$137.9K

$188.7K

How much do data engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data engineer in Vermont is $137,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $146,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Vermont? The most popular types of Data Engineer jobs in Vermont are:
What are popular job titles related to Data Engineer jobs in Vermont? For Data Engineer jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Vermont look for? The top searched job categories for Data Engineer jobs in Vermont are:
What cities in Vermont are hiring for Data Engineer jobs? Cities in Vermont with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in VT? For Data Engineer jobs in VT, the most frequently searched job titles are:
Data Engineer jobs near you

Data Engineer

Agri-Mark/Cabot Creamery

Waitsfield, VT • On-site

$90/hr

Full-time

Posted 10 days ago

Job description

How would we describe a career with Agri-Mark/McCadam/Cabot Creamery? More than 100 years of: Farmers, Family, Mission, Purpose, Sustainability, Respect, Integrity, Work Ethic, Teamwork, Pride in Award Winning Products, and Agriculture.
Cabot Creamery achieved B Corp certification in 2012 and became the world's first dairy co-op to do so. This certification demonstrates our commitment to transforming the global economy to benefit all people, communities, and the planet.
The salary range for this position is $90-95k
We offer a hybrid workplace with three days onsite in our corporate office (Tuesday - Thursday) in Waitsfield, VT.
Join a collaborative team that values innovation and continuous learning, with opportunities to lead modernization efforts and shape the future of our analytics platform. As a Data Engineer, you'll play a pivotal role in driving the transformation of our data ecosystem, working on cutting-edge projects that empower business decision-making and support organizational growth. In this dynamic role, you will design, develop, and maintain scalable data pipelines and architectures that empower our organization to harness the full potential of data. Your expertise will enable seamless integration of diverse data sources, optimize data workflows, and support advanced analytics initiatives. We are looking for talent to modernize our data stack as we continue to grow our analytics. If you are passionate about transforming raw data into actionable insights and driving the company towards new opportunities, then this is the position for you.
What you'll be doing:
  • Drive the development, implementation, and optimization of scalable ETL (Extract, Transform, Load) processes to ensure seamless data flow across systems. Utilize SSIS to extract data from diverse sources, transform it for business needs, and load it into modern data warehouses.
  • Lead the creation and maintenance of data models using SSAS to support dynamic business intelligence and reporting initiatives.
  • Design and write advanced SQL queries and stored procedures to extract, manipulate, and deliver actionable insights from our data warehouse and other sources.
  • Champion the building and management of complex SQL databases using Microsoft SQL Server and other relational systems, ensuring top performance, security, and reliability.
  • Lead cross-functional collaborations to deliver impactful data solutions, translating business requirements into effective data strategies.
  • Conduct thorough data analysis to identify trends, anomalies, and valuable insights that inform strategic business decisions.
  • Monitor, optimize, and enhance data pipelines and warehouse performance to maximize data accuracy and availability.
  • Develop and maintain comprehensive documentation for data models, ETL processes, and data flows to support knowledge sharing and continuous improvement.
  • Support model training and analytical activities by providing clean, well-structured datasets and contributing to the ongoing refinement of data models through iterative testing.
  • Champion data quality initiatives across the organization and participate in Agile development cycles to rapidly deliver high-impact solutions with thorough documentation for ongoing maintenance.

What we are seeking:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field.
  • 3+ years of hands-on experience in data engineering or a related discipline.
  • Proficiency in SSIS, SSAS, SQL Server, and Azure.
  • Strong SQL programming skills with expertise in developing complex queries and stored procedures.
  • Extensive knowledge of SQL databases including Microsoft SQL Server, with experience in Data Warehouse concepts.
  • Ability to design efficient database schemas, optimize query performance, and interpret complex datasets with precision.
  • Familiar with core data engineering concepts: orchestration, idempotency, ETL/ELT.
  • Experience working with Git repositories.
  • Proficient in Python.
  • Experience with dbt and Snowflake.
  • Strong analytical and problem-solving mindset.
  • Outstanding communication and collaboration abilities.
  • Proven ability to work independently and thrive in team environments.
  • Enthusiasm for exploring new technologies and data sets.
  • Meticulous attention to detail, with a commitment to data accuracy and quality.

Agri-Mark is an equal opportunity employer. The company is committed to the fundamental principle of equal opportunity and equal treatment for every qualified prospective and current employee. The company does not discriminate or allow discrimination on the basis of race (including traits historically associated with race including hair texture and protective hairstyles), color, religion, ancestry, national origin, citizenship, genetic information, sex (including pregnancy or pregnancy-related conditions), sexual orientation, gender identity, place of birth, crime victim status, age, physical or mental disability, a positive result from an HIV-related blood test, military or veteran status, or any other classification protected under applicable federal and/or state law.
Agri-Mark complies with all federal, state, and local laws and regulations.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Apply